Ensaios sobre o uso repetido do seguro-desemprego

Detalhes bibliográficos
Autor(a) principal: Prado, Alexsandro Gonçalves da Silva
Data de Publicação: 2021
Tipo de documento: Tese
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações da UFPB
Texto Completo: https://repositorio.ufpb.br/jspui/handle/123456789/22625
Resumo: This thesis is composed of three essays that evaluate the repeated use of the Brazilian Unemployment Insurance. The first essay investigates the extent and nature of repeated use of unemployment insurance from socioeconomic, geographic characteristics, time worked, and receipt of benefits. For this, the accesses of each user of the unemployment insurance program between the months of July 2019 and July 2020 were analyzed using the Unemployment Insurance Management Database (BGSD) as a source. The results obtained from the cumulative logit model without proportional odds, indicate that the most likely characteristics in determining recidivism to unemployment insurance were individuals in the largest age groups, in lower levels of education and salary range, male, workers in the construction and industry sectors, residents in metropolitan regions, and receipt of benefits. Longer working hours and residence in metropolitan areas contributed to reducing recidivism. Given the adverse effects regarding the repeated use of unemployment insurance and the insertion of stricter criteria for the receipt of benefits tied to participation in a qualification program, the second essay analyzed the impact of PRONATEC on the repeated use of unemployment insurance. The sample comprises applications for unemployment insurance daily between 2013 and 2015 obtained from the Unemployment Insurance Management Database (BGSD) in conjunction with RAIS (Annual Social Information Report). To achieve the objective, the PSM (Propensity Score Matching) was employed, by the NNM (Nearest Neighbor Matching) method, associated with the difference-in-differences model with doubly robust estimators. The findings suggest that the insertion of an active policy in unemployment insurance promoted by PRONATEC was not an obstacle to the repeated behavior of beneficiaries of the Brazilian Unemployment Insurance program. Finally, the third essay analyzed the exhaustion effect and the determinants of unemployment duration among non-recidivist and recidivist users of the unemployment insurance system. BGSD microdata was used jointly with RAIS between January 2010 and July 2020 with nonparametric (Kaplan-Meyer), semiparametric (Cox), and parametric (Weibull) models of duration. The results reveal that the conditional probability of leaving unemployment increases from the first to the seventh month of unemployment, when it reaches a maximum point, declining thereafter, characterizing the exhaustion effect between recidivist and nonrecidivist workers. Considering the individual characteristics, it was observed that recidivists had a higher probability of unemployment duration. It is also noteworthy that the parametric estimates, corroborated by the semiparametric ones, reveal that characteristics such as white, with higher wages, more hours worked in the last job, male, with a lower level of education (elementary school), and living in the Midwest and South regions increase the probability of unemployment duration.
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spelling Ensaios sobre o uso repetido do seguro-desempregoSeguro-desempregoReincidênciaPRONATECEfeito exaustãoDuração do desempregoUnemployment insuranceRecidivismExhaustion effectDuration of unemploymenCNPQ::CIENCIAS SOCIAIS APLICADAS::ECONOMIAThis thesis is composed of three essays that evaluate the repeated use of the Brazilian Unemployment Insurance. The first essay investigates the extent and nature of repeated use of unemployment insurance from socioeconomic, geographic characteristics, time worked, and receipt of benefits. For this, the accesses of each user of the unemployment insurance program between the months of July 2019 and July 2020 were analyzed using the Unemployment Insurance Management Database (BGSD) as a source. The results obtained from the cumulative logit model without proportional odds, indicate that the most likely characteristics in determining recidivism to unemployment insurance were individuals in the largest age groups, in lower levels of education and salary range, male, workers in the construction and industry sectors, residents in metropolitan regions, and receipt of benefits. Longer working hours and residence in metropolitan areas contributed to reducing recidivism. Given the adverse effects regarding the repeated use of unemployment insurance and the insertion of stricter criteria for the receipt of benefits tied to participation in a qualification program, the second essay analyzed the impact of PRONATEC on the repeated use of unemployment insurance. The sample comprises applications for unemployment insurance daily between 2013 and 2015 obtained from the Unemployment Insurance Management Database (BGSD) in conjunction with RAIS (Annual Social Information Report). To achieve the objective, the PSM (Propensity Score Matching) was employed, by the NNM (Nearest Neighbor Matching) method, associated with the difference-in-differences model with doubly robust estimators. The findings suggest that the insertion of an active policy in unemployment insurance promoted by PRONATEC was not an obstacle to the repeated behavior of beneficiaries of the Brazilian Unemployment Insurance program. Finally, the third essay analyzed the exhaustion effect and the determinants of unemployment duration among non-recidivist and recidivist users of the unemployment insurance system. BGSD microdata was used jointly with RAIS between January 2010 and July 2020 with nonparametric (Kaplan-Meyer), semiparametric (Cox), and parametric (Weibull) models of duration. The results reveal that the conditional probability of leaving unemployment increases from the first to the seventh month of unemployment, when it reaches a maximum point, declining thereafter, characterizing the exhaustion effect between recidivist and nonrecidivist workers. Considering the individual characteristics, it was observed that recidivists had a higher probability of unemployment duration. It is also noteworthy that the parametric estimates, corroborated by the semiparametric ones, reveal that characteristics such as white, with higher wages, more hours worked in the last job, male, with a lower level of education (elementary school), and living in the Midwest and South regions increase the probability of unemployment duration.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESEsta tese é composta por três ensaios que avaliam o uso repetido do Seguro-Desemprego brasileiro. O primeiro ensaio investiga a extensão e a natureza do uso repetido do segurodesemprego a partir das características socioeconômicas, geográficas, tempo de trabalhado e recebimento de benefícios. Para isso, analisou-se os acessos de cada usuário do programa de seguro-desemprego entre os meses de julho de 2019 e julho de 2020 tendo como fonte a Base de Gestão do Seguro-Desemprego (BGSD). Os resultados obtidos, a partir do modelo logit cumulativo sem chances proporcionais, indicam que as características de maior probabilidade na determinação da reincidência ao seguro-desemprego foram indivíduos nas maiores faixas etárias, em menores níveis de escolaridade e faixa salarial, do sexo masculino, trabalhadores dos setores da construção civil e indústria, residentes em regiões metropolitanas e o recebimento de benefícios. Maiores faixas de tempo trabalhado e residência em regiões metropolitanas contribuíram para minorar a reincidência. Tendo em vista os efeitos adversos quanto ao uso repetido do seguro-desemprego e a inserção de critérios mais rígidos para recebimento de benefícios atrelados a participação em programa de qualificação, o segundo ensaio analisou o impacto do PRONATEC sobre o uso repetido do seguro-desemprego. A amostra compreende requerimentos de seguro-desemprego em base diária entre 2013 e 2015 obtidos a partir da Base de Gestão do Seguro-Desemprego (BGSD) em conjunto com a RAIS (Relação Anual de Informações Sociais). Para atingir o objetivo foi empregado o PSM (Propensity Score Matching), pelo método pelo método NNM (Nearest Neighbor Matching), associado ao modelo de diferenças-em-diferenças com estimadores duplamente robustos. Os achados sugerem que a inserção de política ativa no seguro-desemprego promovida pelo PRONATEC não foi empecilho para o comportamento reincidente dos beneficiários do programa de SeguroDesemprego brasileiro. Por fim, o terceiro ensaio analisou o efeito exaustão e os determinantes da duração do desemprego entre os usuários do sistema de seguro-desemprego não reincidentes e reincidentes. Foram utilizados microdados da BGSD conjuntamente com RAIS entre janeiro de 2010 e julho de 2020 com modelos de duração não paramétrico (Kaplan-Meyer), semiparamétrico (Cox) e paramétrico (Weibull). Os resultados revelam que a probabilidade condicional de sair do desemprego cresce do primeiro até o sétimo mês de desemprego, quando atinge um ponto de máximo, decaindo a partir daí, caracterizando o efeito exaustão entre trabalhadores reincidentes e não reincidentes. Considerando as caraterísticas individuais, observou-se que os reincidentes apresentaram maior probabilidade de duração no desemprego. Destaca-se ainda que as estimativas paramétricas, corroboradas pela semiparamétricas, revelam que caraterísticas como raça branca, com maiores salários, mais horas trabalhadas no último emprego, homem, com menor nível instrução (fundamental) e residentes nas regiões CentroOeste e Sul aumentam a probabilidade de duração do desemprego.Universidade Federal da ParaíbaBrasilEconomiaPrograma de Pós-Graduação em EconomiaUFPBMonte, Paulo Aguiar dohttp://lattes.cnpq.br/2086894513472218Prado, Alexsandro Gonçalves da Silva2022-03-31T18:05:59Z2022-02-142022-03-31T18:05:59Z2021-12-16info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesishttps://repositorio.ufpb.br/jspui/handle/123456789/22625porAttribution-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nd/3.0/br/info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UFPBinstname:Universidade Federal da Paraíba (UFPB)instacron:UFPB2022-04-04T14:09:13Zoai:repositorio.ufpb.br:123456789/22625Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufpb.br/PUBhttp://tede.biblioteca.ufpb.br:8080/oai/requestdiretoria@ufpb.br|| diretoria@ufpb.bropendoar:2022-04-04T14:09:13Biblioteca Digital de Teses e Dissertações da UFPB - Universidade Federal da Paraíba (UFPB)false
dc.title.none.fl_str_mv Ensaios sobre o uso repetido do seguro-desemprego
title Ensaios sobre o uso repetido do seguro-desemprego
spellingShingle Ensaios sobre o uso repetido do seguro-desemprego
Prado, Alexsandro Gonçalves da Silva
Seguro-desemprego
Reincidência
PRONATEC
Efeito exaustão
Duração do desemprego
Unemployment insurance
Recidivism
Exhaustion effect
Duration of unemploymen
CNPQ::CIENCIAS SOCIAIS APLICADAS::ECONOMIA
title_short Ensaios sobre o uso repetido do seguro-desemprego
title_full Ensaios sobre o uso repetido do seguro-desemprego
title_fullStr Ensaios sobre o uso repetido do seguro-desemprego
title_full_unstemmed Ensaios sobre o uso repetido do seguro-desemprego
title_sort Ensaios sobre o uso repetido do seguro-desemprego
author Prado, Alexsandro Gonçalves da Silva
author_facet Prado, Alexsandro Gonçalves da Silva
author_role author
dc.contributor.none.fl_str_mv Monte, Paulo Aguiar do
http://lattes.cnpq.br/2086894513472218
dc.contributor.author.fl_str_mv Prado, Alexsandro Gonçalves da Silva
dc.subject.por.fl_str_mv Seguro-desemprego
Reincidência
PRONATEC
Efeito exaustão
Duração do desemprego
Unemployment insurance
Recidivism
Exhaustion effect
Duration of unemploymen
CNPQ::CIENCIAS SOCIAIS APLICADAS::ECONOMIA
topic Seguro-desemprego
Reincidência
PRONATEC
Efeito exaustão
Duração do desemprego
Unemployment insurance
Recidivism
Exhaustion effect
Duration of unemploymen
CNPQ::CIENCIAS SOCIAIS APLICADAS::ECONOMIA
description This thesis is composed of three essays that evaluate the repeated use of the Brazilian Unemployment Insurance. The first essay investigates the extent and nature of repeated use of unemployment insurance from socioeconomic, geographic characteristics, time worked, and receipt of benefits. For this, the accesses of each user of the unemployment insurance program between the months of July 2019 and July 2020 were analyzed using the Unemployment Insurance Management Database (BGSD) as a source. The results obtained from the cumulative logit model without proportional odds, indicate that the most likely characteristics in determining recidivism to unemployment insurance were individuals in the largest age groups, in lower levels of education and salary range, male, workers in the construction and industry sectors, residents in metropolitan regions, and receipt of benefits. Longer working hours and residence in metropolitan areas contributed to reducing recidivism. Given the adverse effects regarding the repeated use of unemployment insurance and the insertion of stricter criteria for the receipt of benefits tied to participation in a qualification program, the second essay analyzed the impact of PRONATEC on the repeated use of unemployment insurance. The sample comprises applications for unemployment insurance daily between 2013 and 2015 obtained from the Unemployment Insurance Management Database (BGSD) in conjunction with RAIS (Annual Social Information Report). To achieve the objective, the PSM (Propensity Score Matching) was employed, by the NNM (Nearest Neighbor Matching) method, associated with the difference-in-differences model with doubly robust estimators. The findings suggest that the insertion of an active policy in unemployment insurance promoted by PRONATEC was not an obstacle to the repeated behavior of beneficiaries of the Brazilian Unemployment Insurance program. Finally, the third essay analyzed the exhaustion effect and the determinants of unemployment duration among non-recidivist and recidivist users of the unemployment insurance system. BGSD microdata was used jointly with RAIS between January 2010 and July 2020 with nonparametric (Kaplan-Meyer), semiparametric (Cox), and parametric (Weibull) models of duration. The results reveal that the conditional probability of leaving unemployment increases from the first to the seventh month of unemployment, when it reaches a maximum point, declining thereafter, characterizing the exhaustion effect between recidivist and nonrecidivist workers. Considering the individual characteristics, it was observed that recidivists had a higher probability of unemployment duration. It is also noteworthy that the parametric estimates, corroborated by the semiparametric ones, reveal that characteristics such as white, with higher wages, more hours worked in the last job, male, with a lower level of education (elementary school), and living in the Midwest and South regions increase the probability of unemployment duration.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-16
2022-03-31T18:05:59Z
2022-02-14
2022-03-31T18:05:59Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://repositorio.ufpb.br/jspui/handle/123456789/22625
url https://repositorio.ufpb.br/jspui/handle/123456789/22625
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv Attribution-NoDerivs 3.0 Brazil
http://creativecommons.org/licenses/by-nd/3.0/br/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NoDerivs 3.0 Brazil
http://creativecommons.org/licenses/by-nd/3.0/br/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Federal da Paraíba
Brasil
Economia
Programa de Pós-Graduação em Economia
UFPB
publisher.none.fl_str_mv Universidade Federal da Paraíba
Brasil
Economia
Programa de Pós-Graduação em Economia
UFPB
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações da UFPB
instname:Universidade Federal da Paraíba (UFPB)
instacron:UFPB
instname_str Universidade Federal da Paraíba (UFPB)
instacron_str UFPB
institution UFPB
reponame_str Biblioteca Digital de Teses e Dissertações da UFPB
collection Biblioteca Digital de Teses e Dissertações da UFPB
repository.name.fl_str_mv Biblioteca Digital de Teses e Dissertações da UFPB - Universidade Federal da Paraíba (UFPB)
repository.mail.fl_str_mv diretoria@ufpb.br|| diretoria@ufpb.br
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